'\n(with code cells:)\njupyter nbconvert --to html --execute utilities_313_EDA.ipynb\n\n(without code cells:)\njupyter nbconvert --to html --execute --TemplateExporter.exclude_input=True utilities_313_EDA.ipynb\n'
Note the Pepco / CleanChoice data. After this, they'll be consolidated into "Electric"
| Amount | Amount_per_person | |
|---|---|---|
| count | 52.000000 | 52.000000 |
| mean | 389.041538 | 129.680513 |
| std | 85.294534 | 28.431511 |
| min | 194.000000 | 64.666667 |
| 25% | 335.740000 | 111.913333 |
| 50% | 388.600000 | 129.533333 |
| 75% | 421.700000 | 140.566667 |
| max | 628.080000 | 209.360000 |
<Figure size 1000x600 with 0 Axes>